women_open

Dataset statistics

Number of variables	22
Number of observations	1930
Missing cells	17853
Missing cells (%)	42.0%
Duplicate rows	13
Duplicate rows (%)	0.7%
Total size in memory	346.8 KiB
Average record size in memory	184.0 B

Variable types

Text	2
Unsupported	1
Categorical	5
Numeric	14

Alerts

`Region` has constant value ""	Constant
`Division` has constant value ""	Constant
`Games_Level` has constant value ""	Constant
`Qualifier` has constant value ""	Constant
Dataset has 13 (0.7%) duplicate rows	Duplicates
`Back Squat (lbs)` is highly overall correlated with `Clean and Jerk (lbs)` and 4 other fields	High correlation
`Chad1000x (s)` is highly overall correlated with `Filthy 50 (s)` and 1 other fields	High correlation
`Clean and Jerk (lbs)` is highly overall correlated with `Back Squat (lbs)` and 6 other fields	High correlation
`Deadlift (lbs)` is highly overall correlated with `Back Squat (lbs)` and 4 other fields	High correlation
`Fight Gone Bad` is highly overall correlated with `Filthy 50 (s)` and 2 other fields	High correlation
`Filthy 50 (s)` is highly overall correlated with `Chad1000x (s)` and 4 other fields	High correlation
`Fran (s)` is highly overall correlated with `Clean and Jerk (lbs)` and 7 other fields	High correlation
`Grace (s)` is highly overall correlated with `Back Squat (lbs)` and 6 other fields	High correlation
`Helen (s)` is highly overall correlated with `Filthy 50 (s)` and 5 other fields	High correlation
`L1 Benchmark (s)` is highly overall correlated with `Back Squat (lbs)` and 11 other fields	High correlation
`Max Pull-ups` is highly overall correlated with `Fran (s)` and 2 other fields	High correlation
`Rank` is highly overall correlated with `Clean and Jerk (lbs)` and 4 other fields	High correlation
`Run 5k (s)` is highly overall correlated with `Helen (s)` and 2 other fields	High correlation
`Snatch (lbs)` is highly overall correlated with `Back Squat (lbs)` and 6 other fields	High correlation
`Sprint 400m (s)` is highly overall correlated with `Chad1000x (s)` and 3 other fields	High correlation
`Affiliate` has 165 (8.5%) missing values	Missing
`Country` has 1930 (100.0%) missing values	Missing
`Back Squat (lbs)` has 149 (7.7%) missing values	Missing
`Clean and Jerk (lbs)` has 157 (8.1%) missing values	Missing
`Deadlift (lbs)` has 131 (6.8%) missing values	Missing
`Snatch (lbs)` has 204 (10.6%) missing values	Missing
`Fight Gone Bad` has 1540 (79.8%) missing values	Missing
`Max Pull-ups` has 1329 (68.9%) missing values	Missing
`Chad1000x (s)` has 1906 (98.8%) missing values	Missing
`L1 Benchmark (s)` has 1927 (99.8%) missing values	Missing
`Filthy 50 (s)` has 1700 (88.1%) missing values	Missing
`Fran (s)` has 1102 (57.1%) missing values	Missing
`Grace (s)` has 1178 (61.0%) missing values	Missing
`Helen (s)` has 1440 (74.6%) missing values	Missing
`Run 5k (s)` has 1366 (70.8%) missing values	Missing
`Sprint 400m (s)` has 1629 (84.4%) missing values	Missing
`L1 Benchmark (s)` is uniformly distributed	Uniform
`Country` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2024-02-18 02:58:39.379577
Analysis finished	2024-02-18 02:58:59.554215
Duration	20.17 seconds
Software version	ydata-profiling vv4.6.4
Download configuration	config.json

Athlete
Text

Distinct	1917
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Memory size	30.2 KiB

Length

Max length	32
Median length	27
Mean length	14.095337
Min length	7

Characters and Unicode

Total characters	27204
Distinct characters	73
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1904 ?
Unique (%)	98.7%

Sample

1st row	Andrea Nisler
2nd row	Chloe Gauvin-David
3rd row	Emelie Lundberg
4th row	Jessica Coughlan
5th row	Astrid Tind Petersen

Value	Count	Frequency (%)
jessica	33	0.8%
sarah	31	0.8%
lauren	29	0.7%
emily	24	0.6%
anna	21	0.5%
samantha	20	0.5%
amanda	19	0.5%
ashley	19	0.5%
nicole	18	0.5%
taylor	18	0.5%
Other values (2649)	3726	94.1%

Most occurring characters

Value	Count	Frequency (%)
a	2986	11.0%
e	2756	10.1%
	2028	7.5%
n	1977	7.3%
i	1866	6.9%
r	1704	6.3%
l	1550	5.7%
o	1230	4.5%
s	1066	3.9%
t	967	3.6%
Other values (63)	9074	33.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21118	77.6%
Uppercase Letter	4018	14.8%
Space Separator	2028	7.5%
Dash Punctuation	31	0.1%
Other Punctuation	7	< 0.1%
Final Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2986	14.1%
e	2756	13.1%
n	1977	9.4%
i	1866	8.8%
r	1704	8.1%
l	1550	7.3%
o	1230	5.8%
s	1066	5.0%
t	967	4.6%
h	758	3.6%
Other values (30)	4258	20.2%

Uppercase Letter

Value	Count	Frequency (%)
S	416	10.4%
M	390	9.7%
C	366	9.1%
A	314	7.8%
K	268	6.7%
B	260	6.5%
L	220	5.5%
J	212	5.3%
H	210	5.2%
R	191	4.8%
Other values (18)	1171	29.1%

Other Punctuation

Value	Count	Frequency (%)
'	5	71.4%
.	2	28.6%

Space Separator

Value	Count	Frequency (%)
	2028	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	31	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25136	92.4%
Common	2068	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2986	11.9%
e	2756	11.0%
n	1977	7.9%
i	1866	7.4%
r	1704	6.8%
l	1550	6.2%
o	1230	4.9%
s	1066	4.2%
t	967	3.8%
h	758	3.0%
Other values (58)	8276	32.9%

Common

Value	Count	Frequency (%)
	2028	98.1%
-	31	1.5%
'	5	0.2%
.	2	0.1%
’	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27152	99.8%
None	50	0.2%
Punctuation	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2986	11.0%
e	2756	10.2%
	2028	7.5%
n	1977	7.3%
i	1866	6.9%
r	1704	6.3%
l	1550	5.7%
o	1230	4.5%
s	1066	3.9%
t	967	3.6%
Other values (46)	9022	33.2%

None

Value	Count	Frequency (%)
é	8	16.0%
í	8	16.0%
ó	7	14.0%
á	5	10.0%
ä	4	8.0%
ø	3	6.0%
å	3	6.0%
ö	3	6.0%
ü	2	4.0%
æ	1	2.0%
Other values (6)	6	12.0%

Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Affiliate
Text

MISSING

Distinct	1420
Distinct (%)	80.5%
Missing	165
Missing (%)	8.5%
Memory size	30.2 KiB

Length

Max length	39
Median length	32
Mean length	17.307649
Min length	10

Characters and Unicode

Total characters	30548
Distinct characters	81
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1148 ?
Unique (%)	65.0%

Sample

1st row	CrossFit East Nashville
2nd row	CrossFit Move Fast Lift Heavy
3rd row	CrossFit OBA
4th row	CrossFit NorWest
5th row	CrossFit Butcher's Lab

Value	Count	Frequency (%)
crossfit	1765	42.2%
city	31	0.7%
iron	13	0.3%
north	13	0.3%
east	12	0.3%
athletics	12	0.3%
south	12	0.3%
west	11	0.3%
the	10	0.2%
valley	10	0.2%
Other values (1609)	2296	54.9%

Most occurring characters

Value	Count	Frequency (%)
s	4104	13.4%
o	2676	8.8%
r	2664	8.7%
i	2593	8.5%
t	2572	8.4%
	2420	7.9%
C	2016	6.6%
F	1888	6.2%
e	1336	4.4%
a	1109	3.6%
Other values (71)	7170	23.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21523	70.5%
Uppercase Letter	6177	20.2%
Space Separator	2420	7.9%
Decimal Number	386	1.3%
Other Punctuation	27	0.1%
Dash Punctuation	14	< 0.1%
Final Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	4104	19.1%
o	2676	12.4%
r	2664	12.4%
i	2593	12.0%
t	2572	12.0%
e	1336	6.2%
a	1109	5.2%
n	829	3.9%
l	662	3.1%
u	427	2.0%
Other values (27)	2551	11.9%

Uppercase Letter

Value	Count	Frequency (%)
C	2016	32.6%
F	1888	30.6%
S	248	4.0%
B	198	3.2%
A	165	2.7%
T	160	2.6%
R	146	2.4%
P	137	2.2%
M	136	2.2%
L	124	2.0%
Other values (18)	959	15.5%

Decimal Number

Value	Count	Frequency (%)
1	73	18.9%
0	55	14.2%
4	46	11.9%
2	42	10.9%
9	36	9.3%
6	31	8.0%
5	29	7.5%
8	28	7.3%
7	24	6.2%
3	22	5.7%

Other Punctuation

Value	Count	Frequency (%)
'	16	59.3%
.	10	37.0%
&	1	3.7%

Space Separator

Value	Count	Frequency (%)
	2420	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27700	90.7%
Common	2848	9.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	4104	14.8%
o	2676	9.7%
r	2664	9.6%
i	2593	9.4%
t	2572	9.3%
C	2016	7.3%
F	1888	6.8%
e	1336	4.8%
a	1109	4.0%
n	829	3.0%
Other values (55)	5913	21.3%

Common

Value	Count	Frequency (%)
	2420	85.0%
1	73	2.6%
0	55	1.9%
4	46	1.6%
2	42	1.5%
9	36	1.3%
6	31	1.1%
5	29	1.0%
8	28	1.0%
7	24	0.8%
Other values (6)	64	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30514	99.9%
None	33	0.1%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	4104	13.4%
o	2676	8.8%
r	2664	8.7%
i	2593	8.5%
t	2572	8.4%
	2420	7.9%
C	2016	6.6%
F	1888	6.2%
e	1336	4.4%
a	1109	3.6%
Other values (57)	7136	23.4%

None

Value	Count	Frequency (%)
ä	8	24.2%
í	5	15.2%
ü	4	12.1%
á	3	9.1%
ø	3	9.1%
é	2	6.1%
ã	2	6.1%
ô	1	3.0%
ð	1	3.0%
Á	1	3.0%
Other values (3)	3	9.1%

Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Country
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1930
Missing (%)	100.0%
Memory size	30.2 KiB

Region
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	30.2 KiB

worldwide	1930

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	17370
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	worldwide
2nd row	worldwide
3rd row	worldwide
4th row	worldwide
5th row	worldwide

Common Values

Value	Count	Frequency (%)
worldwide	1930	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
worldwide	1930	100.0%

Most occurring characters

Value	Count	Frequency (%)
w	3860	22.2%
d	3860	22.2%
o	1930	11.1%
r	1930	11.1%
l	1930	11.1%
i	1930	11.1%
e	1930	11.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17370	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	3860	22.2%
d	3860	22.2%
o	1930	11.1%
r	1930	11.1%
l	1930	11.1%
i	1930	11.1%
e	1930	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17370	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	3860	22.2%
d	3860	22.2%
o	1930	11.1%
r	1930	11.1%
l	1930	11.1%
i	1930	11.1%
e	1930	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17370	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
w	3860	22.2%
d	3860	22.2%
o	1930	11.1%
r	1930	11.1%
l	1930	11.1%
i	1930	11.1%
e	1930	11.1%

Division
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	30.2 KiB

Women	1930

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	9650
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Women
2nd row	Women
3rd row	Women
4th row	Women
5th row	Women

Common Values

Value	Count	Frequency (%)
Women	1930	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
women	1930	100.0%

Most occurring characters

Value	Count	Frequency (%)
W	1930	20.0%
o	1930	20.0%
m	1930	20.0%
e	1930	20.0%
n	1930	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7720	80.0%
Uppercase Letter	1930	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1930	25.0%
m	1930	25.0%
e	1930	25.0%
n	1930	25.0%

Uppercase Letter

Value	Count	Frequency (%)
W	1930	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9650	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
W	1930	20.0%
o	1930	20.0%
m	1930	20.0%
e	1930	20.0%
n	1930	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9650	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
W	1930	20.0%
o	1930	20.0%
m	1930	20.0%
e	1930	20.0%
n	1930	20.0%

Rank
Real number (ℝ)

HIGH CORRELATION

Distinct	1911
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27566.008

Minimum	17
Maximum	123110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	17
5-th percentile	1481.7
Q1	10742
median	20271
Q3	38398
95-th percentile	80215.4
Maximum	123110
Range	123093
Interquartile range (IQR)	27656

Descriptive statistics

Standard deviation	23742.001
Coefficient of variation (CV)	0.86127819
Kurtosis	1.39221
Mean	27566.008
Median Absolute Deviation (MAD)	12630
Skewness	1.3158758
Sum	53202395
Variance	5.6368263 × 10⁸
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14108	3	0.2%
45129	2	0.1%
57116	2	0.1%
17557	2	0.1%
24034	2	0.1%
22765	2	0.1%
80450	2	0.1%
42715	2	0.1%
83206	2	0.1%
49355	2	0.1%
Other values (1901)	1909	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	1	0.1%
37	1	0.1%
51	1	0.1%
55	1	0.1%
105	1	0.1%
118	1	0.1%
140	1	0.1%
142	1	0.1%
147	1	0.1%
153	1	0.1%

Value	Count	Frequency (%)
123110	1	0.1%
121746	1	0.1%
115832	1	0.1%
113774	1	0.1%
112806	1	0.1%
112296	1	0.1%
111358	1	0.1%
109949	1	0.1%
109187	1	0.1%
108671	1	0.1%

Games_Level
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	30.2 KiB

worldwide	1930

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	17370
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	worldwide
2nd row	worldwide
3rd row	worldwide
4th row	worldwide
5th row	worldwide

Common Values

Value	Count	Frequency (%)
worldwide	1930	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
worldwide	1930	100.0%

Most occurring characters

Value	Count	Frequency (%)
w	3860	22.2%
d	3860	22.2%
o	1930	11.1%
r	1930	11.1%
l	1930	11.1%
i	1930	11.1%
e	1930	11.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17370	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	3860	22.2%
d	3860	22.2%
o	1930	11.1%
r	1930	11.1%
l	1930	11.1%
i	1930	11.1%
e	1930	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17370	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	3860	22.2%
d	3860	22.2%
o	1930	11.1%
r	1930	11.1%
l	1930	11.1%
i	1930	11.1%
e	1930	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17370	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
w	3860	22.2%
d	3860	22.2%
o	1930	11.1%
r	1930	11.1%
l	1930	11.1%
i	1930	11.1%
e	1930	11.1%

Qualifier
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	30.2 KiB

open	1930

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	7720
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	open
2nd row	open
3rd row	open
4th row	open
5th row	open

Common Values

Value	Count	Frequency (%)
open	1930	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
open	1930	100.0%

Most occurring characters

Value	Count	Frequency (%)
o	1930	25.0%
p	1930	25.0%
e	1930	25.0%
n	1930	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7720	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1930	25.0%
p	1930	25.0%
e	1930	25.0%
n	1930	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7720	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	1930	25.0%
p	1930	25.0%
e	1930	25.0%
n	1930	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	1930	25.0%
p	1930	25.0%
e	1930	25.0%
n	1930	25.0%

Back Squat (lbs)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	178
Distinct (%)	10.0%
Missing	149
Missing (%)	7.7%
Infinite	0
Infinite (%)	0.0%
Mean	230.52578

Minimum	80
Maximum	410
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	80
5-th percentile	160
Q1	200
median	229.28048
Q3	260
95-th percentile	308
Maximum	410
Range	330
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	45.339704
Coefficient of variation (CV)	0.19667953
Kurtosis	0.23825097
Mean	230.52578
Median Absolute Deviation (MAD)	30.71952
Skewness	0.12790886
Sum	410566.42
Variance	2055.6887
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
225	89	4.6%
245	67	3.5%
235	63	3.3%
215	60	3.1%
205	59	3.1%
220.462	52	2.7%
250	48	2.5%
200	48	2.5%
265	48	2.5%
210	45	2.3%
Other values (168)	1202	62.3%
(Missing)	149	7.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
80	2	0.1%
85	1	0.1%
90	1	0.1%
95	1	0.1%
100	1	0.1%
105	3	0.2%
110	1	0.1%
115	1	0.1%
116.84486	2	0.1%
121.2541	1	0.1%

Value	Count	Frequency (%)
410	1	0.1%
396.8316	1	0.1%
385	1	0.1%
370	1	0.1%
365	1	0.1%
360	1	0.1%
355	3	0.2%
352	2	0.1%
350	3	0.2%
345	1	0.1%

Clean and Jerk (lbs)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	156
Distinct (%)	8.8%
Missing	157
Missing (%)	8.1%
Infinite	0
Infinite (%)	0.0%
Mean	168.91863

Minimum	65
Maximum	297.6237
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	65
5-th percentile	120
Q1	145
median	165.3465
Q3	190
95-th percentile	225
Maximum	297.6237
Range	232.6237
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	32.270369
Coefficient of variation (CV)	0.1910409
Kurtosis	0.049958504
Mean	168.91863
Median Absolute Deviation (MAD)	22.0462
Skewness	0.18497966
Sum	299492.74
Variance	1041.3767
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
165	103	5.3%
175	98	5.1%
155	91	4.7%
145	79	4.1%
135	74	3.8%
185	70	3.6%
195	59	3.1%
170	58	3.0%
180	55	2.8%
205	51	2.6%
Other values (146)	1035	53.6%
(Missing)	157	8.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
65	1	0.1%
70	1	0.1%
77.1617	1	0.1%
80	1	0.1%
81.57094	1	0.1%
85	4	0.2%
88.1848	1	0.1%
90	4	0.2%
93	1	0.1%
94.79866	1	0.1%

Value	Count	Frequency (%)
297.6237	1	0.1%
285	1	0.1%
275	1	0.1%
272	1	0.1%
265	1	0.1%
260	2	0.1%
257	1	0.1%
253.5313	1	0.1%
250	5	0.3%
246	1	0.1%

Deadlift (lbs)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	176
Distinct (%)	9.8%
Missing	131
Missing (%)	6.8%
Infinite	0
Infinite (%)	0.0%
Mean	279.0357

Minimum	8.81848
Maximum	440.924
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	8.81848
5-th percentile	205
Q1	245
median	275.5775
Q3	310.92571
95-th percentile	360
Maximum	440.924
Range	432.10552
Interquartile range (IQR)	65.92571

Descriptive statistics

Standard deviation	49.359578
Coefficient of variation (CV)	0.17689341
Kurtosis	0.7182181
Mean	279.0357
Median Absolute Deviation (MAD)	33.0693
Skewness	-0.069928723
Sum	501985.23
Variance	2436.3679
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300	90	4.7%
265	77	4.0%
305	67	3.5%
315	65	3.4%
245	65	3.4%
275	63	3.3%
285	60	3.1%
286.6006	50	2.6%
225	48	2.5%
335	45	2.3%
Other values (166)	1169	60.6%
(Missing)	131	6.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8.81848	1	0.1%
100	1	0.1%
105	2	0.1%
110	1	0.1%
120	1	0.1%
125	1	0.1%
132.2772	1	0.1%
135	2	0.1%
143	1	0.1%
143.3003	1	0.1%

Value	Count	Frequency (%)
440.924	1	0.1%
435	1	0.1%
425	2	0.1%
420	1	0.1%
418.8778	1	0.1%
415	2	0.1%
410	1	0.1%
407.8547	1	0.1%
405	7	0.4%
403.44546	1	0.1%

Snatch (lbs)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	146
Distinct (%)	8.5%
Missing	204
Missing (%)	10.6%
Infinite	0
Infinite (%)	0.0%
Mean	129.44184

Minimum	40
Maximum	231.4851
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	40
5-th percentile	85
Q1	110
median	130
Q3	147.70954
95-th percentile	176.8424
Maximum	231.4851
Range	191.4851
Interquartile range (IQR)	37.70954

Descriptive statistics

Standard deviation	28.267916
Coefficient of variation (CV)	0.21838314
Kurtosis	0.015084555
Mean	129.44184
Median Absolute Deviation (MAD)	20
Skewness	0.19102519
Sum	223416.61
Variance	799.07506
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
135	96	5.0%
125	90	4.7%
105	87	4.5%
115	86	4.5%
145	70	3.6%
110	66	3.4%
120	64	3.3%
140	63	3.3%
130	61	3.2%
155	57	3.0%
Other values (136)	986	51.1%
(Missing)	204	10.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40	1	0.1%
44.0924	1	0.1%
45	2	0.1%
50	1	0.1%
55	3	0.2%
55.1155	1	0.1%
60	1	0.1%
65	3	0.2%
66.1386	4	0.2%
69	2	0.1%

Value	Count	Frequency (%)
231.4851	1	0.1%
225	1	0.1%
220	1	0.1%
215	2	0.1%
210	2	0.1%
205	3	0.2%
202.82504	1	0.1%
202	1	0.1%
200.62042	1	0.1%
200	2	0.1%

Fight Gone Bad
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	182
Distinct (%)	46.7%
Missing	1540
Missing (%)	79.8%
Infinite	0
Infinite (%)	0.0%
Mean	292.33846

Minimum	136
Maximum	730
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	136
5-th percentile	195.35
Q1	255.25
median	289
Q3	326
95-th percentile	394
Maximum	730
Range	594
Interquartile range (IQR)	70.75

Descriptive statistics

Standard deviation	62.705115
Coefficient of variation (CV)	0.21449492
Kurtosis	5.6254003
Mean	292.33846
Median Absolute Deviation (MAD)	36
Skewness	0.94720191
Sum	114012
Variance	3931.9314
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
321	8	0.4%
308	7	0.4%
300	6	0.3%
270	6	0.3%
284	6	0.3%
326	6	0.3%
268	6	0.3%
279	6	0.3%
288	5	0.3%
273	5	0.3%
Other values (172)	329	17.0%
(Missing)	1540	79.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
136	1	0.1%
150	1	0.1%
153	1	0.1%
154	1	0.1%
156	1	0.1%
158	1	0.1%
165	1	0.1%
167	1	0.1%
173	1	0.1%
177	1	0.1%

Value	Count	Frequency (%)
730	1	0.1%
473	1	0.1%
464	1	0.1%
462	1	0.1%
461	1	0.1%
430	1	0.1%
424	1	0.1%
415	1	0.1%
413	1	0.1%
412	1	0.1%

Max Pull-ups
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	60
Distinct (%)	10.0%
Missing	1329
Missing (%)	68.9%
Infinite	0
Infinite (%)	0.0%
Mean	22.459235

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	12
median	21
Q3	30
95-th percentile	48
Maximum	100
Range	99
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	13.734461
Coefficient of variation (CV)	0.61152845
Kurtosis	1.9400377
Mean	22.459235
Median Absolute Deviation (MAD)	9
Skewness	0.99955274
Sum	13498
Variance	188.63542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	49	2.5%
30	47	2.4%
10	42	2.2%
25	40	2.1%
15	35	1.8%
12	29	1.5%
40	24	1.2%
21	22	1.1%
5	19	1.0%
27	14	0.7%
Other values (50)	280	14.5%
(Missing)	1329	68.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9	0.5%
2	7	0.4%
3	13	0.7%
4	7	0.4%
5	19	1.0%
6	9	0.5%
7	6	0.3%
8	12	0.6%
9	6	0.3%
10	42	2.2%

Value	Count	Frequency (%)
100	1	0.1%
75	1	0.1%
73	1	0.1%
65	2	0.1%
62	1	0.1%
60	5	0.3%
57	2	0.1%
56	1	0.1%
55	3	0.2%
52	1	0.1%

Chad1000x (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	23
Distinct (%)	95.8%
Missing	1906
Missing (%)	98.8%
Infinite	0
Infinite (%)	0.0%
Mean	3948.7917

Minimum	2573
Maximum	6096
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	2573
5-th percentile	3072.25
Q1	3414
median	3883
Q3	4388.25
95-th percentile	4778.4
Maximum	6096
Range	3523
Interquartile range (IQR)	974.25

Descriptive statistics

Standard deviation	749.16382
Coefficient of variation (CV)	0.18971976
Kurtosis	1.5871075
Mean	3948.7917
Median Absolute Deviation (MAD)	495
Skewness	0.81122045
Sum	94771
Variance	561246.43
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
4338	2	0.1%
2573	1	0.1%
3366	1	0.1%
3621	1	0.1%
3579	1	0.1%
3939	1	0.1%
4485	1	0.1%
3600	1	0.1%
3170	1	0.1%
3840	1	0.1%
Other values (13)	13	0.7%
(Missing)	1906	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2573	1	0.1%
3055	1	0.1%
3170	1	0.1%
3242	1	0.1%
3344	1	0.1%
3366	1	0.1%
3430	1	0.1%
3579	1	0.1%
3600	1	0.1%
3621	1	0.1%

Value	Count	Frequency (%)
6096	1	0.1%
4782	1	0.1%
4758	1	0.1%
4670	1	0.1%
4629	1	0.1%
4485	1	0.1%
4356	1	0.1%
4338	2	0.1%
3939	1	0.1%
3928	1	0.1%

L1 Benchmark (s)
Categorical

HIGH CORRELATION MISSING UNIFORM

Distinct	3
Distinct (%)	100.0%
Missing	1927
Missing (%)	99.8%
Memory size	30.2 KiB

244.0	1
280.0	1
360.0	1

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	15
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	100.0%

Sample

1st row	244.0
2nd row	280.0
3rd row	360.0

Common Values

Value	Count	Frequency (%)
244.0	1	0.1%
280.0	1	0.1%
360.0	1	0.1%
(Missing)	1927	99.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
244.0	1	33.3%
280.0	1	33.3%
360.0	1	33.3%

Most occurring characters

Value	Count	Frequency (%)
0	5	33.3%
.	3	20.0%
2	2	13.3%
4	2	13.3%
8	1	6.7%
3	1	6.7%
6	1	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12	80.0%
Other Punctuation	3	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5	41.7%
2	2	16.7%
4	2	16.7%
8	1	8.3%
3	1	8.3%
6	1	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5	33.3%
.	3	20.0%
2	2	13.3%
4	2	13.3%
8	1	6.7%
3	1	6.7%
6	1	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5	33.3%
.	3	20.0%
2	2	13.3%
4	2	13.3%
8	1	6.7%
3	1	6.7%
6	1	6.7%

Filthy 50 (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	212
Distinct (%)	92.2%
Missing	1700
Missing (%)	88.1%
Infinite	0
Infinite (%)	0.0%
Mean	1598.1304

Minimum	720
Maximum	3048
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	720
5-th percentile	1120.95
Q1	1342.25
median	1562
Q3	1799.5
95-th percentile	2130.75
Maximum	3048
Range	2328
Interquartile range (IQR)	457.25

Descriptive statistics

Standard deviation	341.5354
Coefficient of variation (CV)	0.21370934
Kurtosis	2.2123092
Mean	1598.1304
Median Absolute Deviation (MAD)	225.5
Skewness	0.91491492
Sum	367570
Variance	116646.43
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1384	2	0.1%
1332	2	0.1%
1413	2	0.1%
1598	2	0.1%
1984	2	0.1%
1562	2	0.1%
1685	2	0.1%
1535	2	0.1%
1800	2	0.1%
1818	2	0.1%
Other values (202)	210	10.9%
(Missing)	1700	88.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
720	1	0.1%
908	1	0.1%
1009	1	0.1%
1056	1	0.1%
1061	1	0.1%
1063	1	0.1%
1075	1	0.1%
1088	1	0.1%
1097	1	0.1%
1109	1	0.1%

Value	Count	Frequency (%)
3048	1	0.1%
2987	1	0.1%
2878	1	0.1%
2400	1	0.1%
2330	1	0.1%
2318	1	0.1%
2300	1	0.1%
2266	1	0.1%
2220	1	0.1%
2194	1	0.1%

Fran (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	349
Distinct (%)	42.1%
Missing	1102
Missing (%)	57.1%
Infinite	0
Infinite (%)	0.0%
Mean	298.18237

Minimum	114
Maximum	858
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	114
5-th percentile	149
Q1	210.75
median	280
Q3	360
95-th percentile	513.6
Maximum	858
Range	744
Interquartile range (IQR)	149.25

Descriptive statistics

Standard deviation	116.07281
Coefficient of variation (CV)	0.38926784
Kurtosis	1.7085218
Mean	298.18237
Median Absolute Deviation (MAD)	73
Skewness	1.0875543
Sum	246895
Variance	13472.897
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
179	10	0.5%
290	7	0.4%
317	7	0.4%
267	7	0.4%
285	7	0.4%
346	7	0.4%
165	6	0.3%
238	6	0.3%
432	6	0.3%
341	6	0.3%
Other values (339)	759	39.3%
(Missing)	1102	57.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
114	1	0.1%
115	1	0.1%
123	1	0.1%
125	1	0.1%
126	1	0.1%
128	3	0.2%
129	1	0.1%
130	1	0.1%
131	2	0.1%
132	2	0.1%

Value	Count	Frequency (%)
858	1	0.1%
832	1	0.1%
764	1	0.1%
748	1	0.1%
694	1	0.1%
673	1	0.1%
671	1	0.1%
668	2	0.1%
663	1	0.1%
657	1	0.1%

Grace (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	255
Distinct (%)	33.9%
Missing	1178
Missing (%)	61.0%
Infinite	0
Infinite (%)	0.0%
Mean	192.37766

Minimum	32
Maximum	900
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	32
5-th percentile	102
Q1	138
median	173
Q3	225.25
95-th percentile	330.9
Maximum	900
Range	868
Interquartile range (IQR)	87.25

Descriptive statistics

Standard deviation	84.9877
Coefficient of variation (CV)	0.44177531
Kurtosis	13.585869
Mean	192.37766
Median Absolute Deviation (MAD)	43
Skewness	2.6239979
Sum	144668
Variance	7222.9091
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
144	12	0.6%
137	12	0.6%
157	10	0.5%
189	9	0.5%
170	8	0.4%
169	8	0.4%
118	8	0.4%
173	8	0.4%
156	8	0.4%
165	8	0.4%
Other values (245)	661	34.2%
(Missing)	1178	61.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32	1	0.1%
67	1	0.1%
70	2	0.1%
74	1	0.1%
75	1	0.1%
77	1	0.1%
78	1	0.1%
79	1	0.1%
81	2	0.1%
84	1	0.1%

Value	Count	Frequency (%)
900	1	0.1%
833	1	0.1%
660	1	0.1%
645	1	0.1%
604	1	0.1%
526	1	0.1%
521	1	0.1%
519	1	0.1%
510	1	0.1%
486	1	0.1%

Helen (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	283
Distinct (%)	57.8%
Missing	1440
Missing (%)	74.6%
Infinite	0
Infinite (%)	0.0%
Mean	658.35918

Minimum	300
Maximum	1920
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	300
5-th percentile	498.45
Q1	569.25
median	631.5
Q3	714.5
95-th percentile	895.85
Maximum	1920
Range	1620
Interquartile range (IQR)	145.25

Descriptive statistics

Standard deviation	153.75575
Coefficient of variation (CV)	0.23354387
Kurtosis	21.117472
Mean	658.35918
Median Absolute Deviation (MAD)	72.5
Skewness	3.2942237
Sum	322596
Variance	23640.832
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
585	7	0.4%
637	6	0.3%
558	6	0.3%
704	5	0.3%
783	5	0.3%
653	5	0.3%
588	5	0.3%
518	5	0.3%
667	5	0.3%
576	4	0.2%
Other values (273)	437	22.6%
(Missing)	1440	74.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
300	1	0.1%
397	1	0.1%
430	1	0.1%
435	1	0.1%
441	1	0.1%
453	1	0.1%
455	1	0.1%
459	1	0.1%
461	1	0.1%
463	1	0.1%

Value	Count	Frequency (%)
1920	2	0.1%
1623	1	0.1%
1223	1	0.1%
1192	1	0.1%
1129	1	0.1%
1092	1	0.1%
1075	1	0.1%
1062	1	0.1%
1051	1	0.1%
1015	1	0.1%

Run 5k (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	346
Distinct (%)	61.3%
Missing	1366
Missing (%)	70.8%
Infinite	0
Infinite (%)	0.0%
Mean	1594.9131

Minimum	1020
Maximum	3366
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	1020
5-th percentile	1241
Q1	1395.75
median	1560
Q3	1713
95-th percentile	2149.3
Maximum	3366
Range	2346
Interquartile range (IQR)	317.25

Descriptive statistics

Standard deviation	294.59955
Coefficient of variation (CV)	0.18471197
Kurtosis	4.3120581
Mean	1594.9131
Median Absolute Deviation (MAD)	159
Skewness	1.515573
Sum	899531
Variance	86788.893
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1620	13	0.7%
1500	11	0.6%
1680	9	0.5%
1440	9	0.5%
1260	8	0.4%
1560	8	0.4%
1800	8	0.4%
1380	7	0.4%
1320	6	0.3%
1350	6	0.3%
Other values (336)	479	24.8%
(Missing)	1366	70.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1020	1	0.1%
1040	1	0.1%
1063	1	0.1%
1070	1	0.1%
1128	1	0.1%
1140	1	0.1%
1148	1	0.1%
1160	1	0.1%
1161	1	0.1%
1166	1	0.1%

Value	Count	Frequency (%)
3366	1	0.1%
2970	1	0.1%
2788	1	0.1%
2750	1	0.1%
2732	1	0.1%
2614	1	0.1%
2541	1	0.1%
2503	2	0.1%
2492	1	0.1%
2472	1	0.1%

Sprint 400m (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	73
Distinct (%)	24.3%
Missing	1629
Missing (%)	84.4%
Infinite	0
Infinite (%)	0.0%
Mean	88.521595

Minimum	56
Maximum	255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	56
5-th percentile	61
Q1	74
median	84
Q3	97
95-th percentile	122
Maximum	255
Range	199
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	24.514969
Coefficient of variation (CV)	0.27693772
Kurtosis	15.822892
Mean	88.521595
Median Absolute Deviation (MAD)	12
Skewness	2.9984547
Sum	26645
Variance	600.9837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	14	0.7%
70	12	0.6%
75	12	0.6%
69	10	0.5%
76	9	0.5%
80	9	0.5%
97	9	0.5%
100	9	0.5%
110	8	0.4%
78	8	0.4%
Other values (63)	201	10.4%
(Missing)	1629	84.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
56	3	0.2%
57	1	0.1%
58	3	0.2%
59	2	0.1%
60	5	0.3%
61	4	0.2%
62	1	0.1%
63	7	0.4%
64	2	0.1%
65	1	0.1%

Value	Count	Frequency (%)
255	1	0.1%
240	2	0.1%
180	1	0.1%
160	1	0.1%
149	1	0.1%
139	1	0.1%
138	1	0.1%
135	1	0.1%
132	1	0.1%
130	1	0.1%

Auto

Heatmap
Table

	Back Squat (lbs)	Chad1000x (s)	Clean and Jerk (lbs)	Deadlift (lbs)	Fight Gone Bad	Filthy 50 (s)	Fran (s)	Grace (s)	Helen (s)	L1 Benchmark (s)	Max Pull-ups	Rank	Run 5k (s)	Snatch (lbs)	Sprint 400m (s)
Back Squat (lbs)	1.000	0.080	0.826	0.803	0.411	-0.266	-0.483	-0.565	-0.283	1.000	0.309	-0.438	-0.153	0.766	-0.205
Chad1000x (s)	0.080	1.000	-0.121	-0.043	-0.279	0.824	-0.016	0.069	0.152	0.000	0.049	-0.135	0.292	-0.097	0.719
Clean and Jerk (lbs)	0.826	-0.121	1.000	0.753	0.498	-0.317	-0.587	-0.673	-0.362	1.000	0.427	-0.567	-0.215	0.906	-0.261
Deadlift (lbs)	0.803	-0.043	0.753	1.000	0.455	-0.219	-0.450	-0.570	-0.292	1.000	0.271	-0.393	-0.116	0.672	-0.100
Fight Gone Bad	0.411	-0.279	0.498	0.455	1.000	-0.508	-0.500	-0.559	-0.464	NaN	0.404	-0.509	-0.422	0.462	-0.444
Filthy 50 (s)	-0.266	0.824	-0.317	-0.219	-0.508	1.000	0.518	0.397	0.604	1.000	-0.482	0.451	0.405	-0.303	0.243
Fran (s)	-0.483	-0.016	-0.587	-0.450	-0.500	0.518	1.000	0.574	0.654	1.000	-0.686	0.618	0.463	-0.595	0.324
Grace (s)	-0.565	0.069	-0.673	-0.570	-0.559	0.397	0.574	1.000	0.470	1.000	-0.380	0.481	0.346	-0.630	0.252
Helen (s)	-0.283	0.152	-0.362	-0.292	-0.464	0.604	0.654	0.470	1.000	1.000	-0.553	0.489	0.620	-0.357	0.530
L1 Benchmark (s)	1.000	0.000	1.000	1.000	NaN	1.000	1.000	1.000	1.000	1.000	-1.000	1.000	1.000	1.000	1.000
Max Pull-ups	0.309	0.049	0.427	0.271	0.404	-0.482	-0.686	-0.380	-0.553	-1.000	1.000	-0.469	-0.321	0.461	-0.353
Rank	-0.438	-0.135	-0.567	-0.393	-0.509	0.451	0.618	0.481	0.489	1.000	-0.469	1.000	0.436	-0.578	0.348
Run 5k (s)	-0.153	0.292	-0.215	-0.116	-0.422	0.405	0.463	0.346	0.620	1.000	-0.321	0.436	1.000	-0.241	0.608
Snatch (lbs)	0.766	-0.097	0.906	0.672	0.462	-0.303	-0.595	-0.630	-0.357	1.000	0.461	-0.578	-0.241	1.000	-0.237
Sprint 400m (s)	-0.205	0.719	-0.261	-0.100	-0.444	0.243	0.324	0.252	0.530	1.000	-0.353	0.348	0.608	-0.237	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Athlete	Affiliate	Country	Region	Division	Rank	Games_Level	Qualifier	Back Squat (lbs)	Clean and Jerk (lbs)	Deadlift (lbs)	Snatch (lbs)	Fight Gone Bad	Max Pull-ups	Chad1000x (s)	L1 Benchmark (s)	Filthy 50 (s)	Fran (s)	Grace (s)	Helen (s)	Run 5k (s)	Sprint 400m (s)
74767	Andrea Nisler	CrossFit East Nashville	NaN	worldwide	Women	17.0	worldwide	open	350.00000	260.00000	400.0000	205.00000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
74796	Chloe Gauvin-David	CrossFit Move Fast Lift Heavy	NaN	worldwide	Women	37.0	worldwide	open	280.00000	230.00000	350.0000	190.00000	NaN	60.0	NaN	NaN	NaN	133.0	106.0	NaN	1350.0	NaN
74815	Emelie Lundberg	CrossFit OBA	NaN	worldwide	Women	51.0	worldwide	open	319.66990	231.48510	374.7854	198.41580	NaN	NaN	NaN	NaN	NaN	114.0	NaN	NaN	NaN	NaN
74818	Jessica Coughlan	CrossFit NorWest	NaN	worldwide	Women	55.0	worldwide	open	NaN	NaN	NaN	NaN	NaN	50.0	NaN	NaN	NaN	128.0	143.0	495.0	NaN	NaN
74823	Astrid Tind Petersen	CrossFit Butcher's Lab	NaN	worldwide	Women	105.0	worldwide	open	297.62370	235.89434	330.6930	191.80194	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
74824	Devyn Kim	CrossFit Invictus	NaN	worldwide	Women	118.0	worldwide	open	NaN	225.00000	315.0000	175.00000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
74825	Brooke Haas Peragine	CrossFit Fairhope	NaN	worldwide	Women	140.0	worldwide	open	350.00000	250.00000	375.0000	202.00000	336.0	75.0	NaN	NaN	1199.0	179.0	74.0	558.0	1353.0	78.0
74826	Madeleine Harris	CrossFit Aylesbury	NaN	worldwide	Women	142.0	worldwide	open	277.78212	229.28048	341.7161	178.57422	NaN	48.0	NaN	NaN	NaN	170.0	112.0	NaN	1292.0	NaN
74827	Lena Richter	CrossFit Oslo	NaN	worldwide	Women	147.0	worldwide	open	315.26066	253.53130	363.7623	198.41580	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1327.0	NaN
74828	Eugenie Amanda Gosselin	CrossFit LumberYard	NaN	worldwide	Women	153.0	worldwide	open	280.00000	225.00000	330.0000	185.00000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

	Athlete	Affiliate	Country	Region	Division	Rank	Games_Level	Qualifier	Back Squat (lbs)	Clean and Jerk (lbs)	Deadlift (lbs)	Snatch (lbs)	Fight Gone Bad	Max Pull-ups	Chad1000x (s)	L1 Benchmark (s)	Filthy 50 (s)	Fran (s)	Grace (s)	Helen (s)	Run 5k (s)	Sprint 400m (s)
76739	Sarah Noble	Fountain City CrossFit	NaN	worldwide	Women	108671.0	worldwide	open	155.00000	85.0000	175.0000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
76740	Stephanie LaCoste	Geaux CrossFit	NaN	worldwide	Women	109187.0	worldwide	open	225.00000	135.0000	205.0000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	256.0	NaN	NaN	NaN
76741	Catie Doris	Camelback CrossFit	NaN	worldwide	Women	109949.0	worldwide	open	NaN	NaN	200.0000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
76742	Holly Krell	Train Harder CrossFit	NaN	worldwide	Women	111358.0	worldwide	open	225.00000	135.0000	265.0000	95.0000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2492.0	NaN
76743	Kerry Radigan	Southern Pines CrossFit	NaN	worldwide	Women	112296.0	worldwide	open	165.00000	100.0000	NaN	75.0000	NaN	5.0	NaN	NaN	NaN	858.0	NaN	NaN	NaN	NaN
76744	Katelyn Ryan	CrossFit Jax	NaN	worldwide	Women	112806.0	worldwide	open	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2614.0	NaN
76745	Leah Smallwood	CrossFit Wrexham	NaN	worldwide	Women	113774.0	worldwide	open	116.84486	77.1617	187.3927	55.1155	199.0	NaN	NaN	NaN	NaN	NaN	250.0	NaN	1768.0	NaN
76746	Raine Rye	NaN	NaN	worldwide	Women	115832.0	worldwide	open	160.00000	140.0000	240.0000	125.0000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
76747	Kate Casey	Warlock CrossFit	NaN	worldwide	Women	121746.0	worldwide	open	260.00000	197.0000	300.0000	150.0000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
76748	Karli Rawlins	NaN	NaN	worldwide	Women	123110.0	worldwide	open	NaN	135.0000	210.0000	NaN	NaN	NaN	NaN	NaN	NaN	427.0	NaN	NaN	NaN	NaN

Most frequently occurring

	Athlete	Affiliate	Region	Division	Rank	Games_Level	Qualifier	Back Squat (lbs)	Clean and Jerk (lbs)	Deadlift (lbs)	Snatch (lbs)	Fight Gone Bad	Max Pull-ups	Chad1000x (s)	L1 Benchmark (s)	Filthy 50 (s)	Fran (s)	Grace (s)	Helen (s)	Run 5k (s)	Sprint 400m (s)	# duplicates
0	Analise Lepkanich	Crossfit Peak 180 Athletics	worldwide	Women	14513.0	worldwide	open	240.0000	205.00000	300.0000	177.0000	220.0	NaN	NaN	NaN	1562.0	187.0	122.0	841.0	NaN	NaN	2
1	Angelica Gaitan	CrossFit TANKA	worldwide	Women	14108.0	worldwide	open	187.3927	147.70954	286.6006	110.2310	NaN	25.0	NaN	NaN	NaN	300.0	NaN	NaN	1500.0	NaN	2
2	Ashley Bigenho	CrossFit Salisbury	worldwide	Women	80450.0	worldwide	open	285.0000	170.00000	335.0000	105.0000	NaN	NaN	NaN	NaN	NaN	NaN	178.0	NaN	2158.0	NaN	2
3	Brittany Smith	CrossFit Casco Bay Undaunted	worldwide	Women	83206.0	worldwide	open	220.0000	135.00000	345.0000	115.0000	270.0	NaN	NaN	NaN	1993.0	281.0	227.0	704.0	NaN	107.0	2
4	Brooklynn Van Ryn	CrossFit Currie Barracks	worldwide	Women	49355.0	worldwide	open	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1866.0	NaN	2
5	Emily Reboul	CrossFit Eixample	worldwide	Women	74581.0	worldwide	open	187.3927	NaN	231.4851	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1561.0	NaN	2
6	Kayla Allen	Jurassic CrossFit	worldwide	Women	34210.0	worldwide	open	175.0000	135.00000	280.0000	105.0000	276.0	13.0	NaN	NaN	1330.0	317.0	228.0	552.0	1782.0	NaN	2
7	Kim Vulperhorst	CrossFit Stedebroec	worldwide	Women	14813.0	worldwide	open	286.6006	202.82504	341.7161	165.3465	NaN	32.0	NaN	NaN	NaN	409.0	162.0	NaN	1596.0	93.0	2
8	Liza Tulisano Walters	CrossFit Thin Blue Line	worldwide	Women	45129.0	worldwide	open	315.0000	205.00000	345.0000	140.0000	283.0	22.0	4338.0	NaN	1385.0	213.0	138.0	568.0	NaN	100.0	2
9	Mackenzie Hoy	CrossFit Holdfast	worldwide	Women	42715.0	worldwide	open	245.0000	187.00000	315.0000	134.0000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2100.0	NaN	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Final Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Final Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values